背景:COVID-19大流行带来了重大的心理健康挑战,特别是对于弱势群体,包括非二元性别个体。COMET国际研究旨在调查大流行期间临床抑郁或痛苦的特定危险因素,在这些特殊人群中。
方法:卡方检验用于初始筛选,以仅选择将显示初始显著性的那些变量。计算风险比(RR),随后进行了多向后逐步线性回归分析(MBSLRA),这些变量在筛查时得到了显着结果,并且存在痛苦或抑郁或两者均缺乏。
结果:抑郁症最重要的危险因素是女性(RR=1.59-5.49)和非二元性别(RR=1.56-7.41),失业率(RR=1.41-6.57),锁定期间不工作(RR=1.43-5.79),一般健康状况不良(RR=2.74-9.98),慢性躯体疾病(RR=1.22-5.57),精神障碍病史(抑郁症RR=2.31-9.47;自杀未遂RR=2.33-9.75;精神病RR=2.14-10.08;双相情感障碍RR=2.75-12.86),吸烟状况(RR=1.15-5.31)和药物使用(RR=1.77-8.01)。存活于MBSLRA的痛苦或抑郁的危险因素是年龄较小,丧偶,独自生活,整体健康状况不佳,作为一个照顾者,慢性躯体疾病,在锁定期间不工作,单身,自我报告的抑郁症史,双相情感障碍,自我伤害,自杀未遂和其他精神障碍,吸烟,酒精,和物质使用。
结论:有针对性的预防干预措施对于保障弱势群体的心理健康至关重要,强调不同样本在未来研究中的重要性。
结论:在线数据收集可能导致某些人群的代表性不足。
BACKGROUND: The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international
study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations.
METHODS: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.
RESULTS: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.
CONCLUSIONS: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research.
CONCLUSIONS: Online data collection may have resulted in the underrepresentation of certain population groups.